Evaluation of the Effectiveness of Predicting the Integrity of Interlobar Fissures Based on Chest Image AI Technology

China-Japan Friendship Hospital

Status: Not yet enrolling

Conditions: Chronic Obstructive Pulmonary Disease

Treatments: Other: Emphysema quantitative analysis software based on chest image AI technology; Other: artificial analysis of chest image; Procedure: imported Chartis detection system

Study type: Observational

Funder types: Other

Identifiers

NCT05774730

2022-NHLHCRF-LX-01-0202-2

Details and patient eligibility

About

The goal of observational study is to evaluate effectiveness of predicting the integrity of interlobar fissures based on chest image AI technology in patients with Chronic Obstructive Pulmonary Disease who will undergo lung volume reduction surgery with endobronchial valve implantation. The main question it aims to answer is: evaluation of the effectiveness of predicting the integrity of interlobar fissures based on chest image AI technology.

Participants will be evaluated by lung CT (quantitative analysis based on chest image AI technology and artificial analysis) and imported Chartis detection system.

Enrollment: 40 estimated patients

Sex: All

Ages: 18 to 90 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients with chronic obstructive pulmonary disease who meet the GOLD diagnostic criteria
• FEV1 ≤ 45% pred and FEV1/FVC<70%
• TLC>100% pred and RV>175% pred
• CAT≥18
• >50% of emphysema destruction
• Smoking prohibition>6 months
• Sign the informed consent form

Exclusion criteria

• PaCO2>8.0 kPa, or PaO2<6.0 kPa
• 6-minute walking test<160m
• Obvious chronic bronchitis, bronchiectasis or other infectious lung diseases
• Three hospitalizations due to pulmonary infection in the past 12 months before the baseline assessment
• Previous lobectomy, LVRS or lung transplantation
• LVEF<45% and or RVSP>50mmHg
• Anticoagulant therapy that cannot be stopped before surgery
• The patient has obvious immune deficiency
• Participated in other lung drug studies within 30 days before this study
• Pulmonary nodules requiring intervention
• Any disease or condition that interferes with the completion of the initial or subsequent assessment

Trial design

40 participants in 3 patient groups

Emphysema quantitative analysis softwarebased on chest image AI technology

Treatment:

Other: Emphysema quantitative analysis software based on chest image AI technology

artificial analysis

Treatment:

Other: artificial analysis of chest image

imported Chartis detection system

Treatment:

Procedure: imported Chartis detection system